A
Data Sovereignty Regulation Tracker
3.70
Derivation Chain
Step 1
US data sovereignty diplomatic offensive
→
Step 2
Strengthening of data localization regulations across countries
→
Step 3
Korean companies' demand for overseas data regulation compliance
Problem
Korean IT SMEs (10–50 employees) operating overseas services or using cloud infrastructure cannot keep up with constantly changing data localization and sovereignty regulations across countries (GDPR, China's Data Security Law, US CLOUD Act, etc.). Non-compliance penalties can reach 2–4% of revenue, and without dedicated legal staff, self-monitoring consumes 20–40 hours per month.
Solution
(1) Automatically crawls and summarizes data regulation changes across 40+ countries, delivering alerts in Korean, (2) diagnoses regulatory violation risk zones based on the company's current cloud/SaaS stack input, and (3) generates compliance action checklists covering technical measures (data transfer, encryption, deletion).
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (72%)
Data Availability
22.5/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (60/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Data Pipeline [medium]
Backend [medium]
Frontend [low]